Emerging Approaches in Hydrology and Water Resources
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 3421

Special Issue Editor
Interests: hydrological modeling; machine learning; artificial intelligence; uncertainty analysis; climate change; flood forecasting; drought forecasting; hydrodynamic modeling; extreme hydrological events; water resources management
Special Issue Information
Dear Colleagues,
This Special Issue of Applied Sciences is dedicated to exploring the latest emerging approaches in hydrology and water resources, with a focus on their applications in addressing the challenges of a changing climate. Specifically, we seek contributions that showcase innovative approaches in hydrological modeling, uncertainty analysis, flood and drought forecasting, hydrodynamic modeling, and extreme hydrological events.
We invite papers that highlight novel approaches to hydrological modeling, such as machine learning, deep learning, and other forms of artificial intelligence, and their potential applications in water resources management. We are also interested in papers that examine innovative approaches to uncertainty analysis in hydrology and climate change, as well as those that demonstrate new techniques for flood and drought forecasting.
In addition, we welcome contributions that showcase emerging approaches to hydrodynamic modeling and simulation, and their potential for improving our understanding of complex water systems. Finally, we invite papers that explore new methods for detecting, monitoring, and responding to extreme hydrological events, such as floods, droughts, and landslides.
We encourage original research papers, review articles, and case studies that demonstrate the innovative applications of emerging approaches in hydrology and water resources management. The goal of this Special Issue is to bring together researchers and practitioners from diverse backgrounds to share their insights, experiences, and best practices in using emerging approaches to address the complex challenges of hydrology and water resources management.
We hope that this Special Issue will inspire new research collaborations and advance our understanding of the role of emerging approaches in shaping the future of hydrology and water resources management.
Dr. Majid Mirzaei
Guest Editor
Manuscript Submission Information
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Keywords
- hydrological modeling
- machine learning
- artificial intelligence
- uncertainty analysis
- climate change
- flood forecasting
- drought forecasting
- hydrodynamic modeling
- extreme hydrological events
- water resources management
- remote sensing
- GIS
- water quality modeling
- urban hydrology
- watershed management
- snow hydrology
- reservoir management
- water allocation
- water policy
- sustainable water management
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